Generative Visual Compression: A Review

B Chen, S Yin, P Chen, S Wang, Y Ye - arXiv preprint arXiv:2402.02140, 2024 - arxiv.org
Artificial Intelligence Generated Content (AIGC) is leading a new technical revolution for the
acquisition of digital content and impelling the progress of visual compression towards …

Multi-feature fusion for efficient inter prediction in versatile video coding

X Wei, H Zeng, Y Fang, L Lin, W Chen, Y Xu - Journal of Real-Time Image …, 2024 - Springer
Abstract Versatile Video Coding (VVC) introduces various advanced coding techniques and
tools, such as QuadTree with nested Multi-type Tree (QTMT) partition structure, and …

BaSIC: BayesNet Structure Learning for Computational Scalable Neural Image Compression

Y Zhang, H Yu, S Liu, W Dai, W Lin - European Conference on Computer …, 2025 - Springer
Despite superior rate-distortion performance over traditional codecs, Neural Image
Compression (NIC) is limited by its computational scalability in practical deployment …

Temporal Adaptive Learned Surveillance Video Compression

Y Zhao, M Ye, L Ji, H Guo, C Zhu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As the amount of surveillance video data increases at an exponential rate, the need for
efficient video compression algorithms becomes increasingly urgent. The inter-frame …

Generative Human Video Compression with Multi-granularity Temporal Trajectory Factorization

S Yin, B Chen, S Wang, Y Ye - arXiv preprint arXiv:2410.10171, 2024 - arxiv.org
In this paper, we propose a novel Multi-granularity Temporal Trajectory Factorization
framework for generative human video compression, which holds great potential for …